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Biology subjects

Chiu, C.-H.

Publications and source records attributed to Chiu, C.-H..

9 recordsLinked to original sources

Comparison of Galleria mellonella, Epithelial Cell Cytotoxicity, and Mouse Model of Bacteremia to Measure Pseudomonas aeruginosa Virulence

Considerable effort has focused on identifying alternatives to mouse models in research studies. In the field of bacterial pathogenesis, Galleria mellonella and epithelial cell lines have been widely used for this purpose, but the concordance of these models with mice remains unclear. To begin to address this knowledge gap, we used 105 clinical isolates of Pseudomonas aeruginosa for which the virulence had been previously determined in a mouse bacteremia model. A semistrong correlation was observed between G. mellonella median time to 50% mortality and mouse 50% pre-lethal dose (LD50) values (Spearmans rank correlation coefficient [{rho}] = 0.75), whereas percent A549 epithelial-like cell lysis during co-culture showed a weak correlation to mouse LD50 values ({rho} = -0.47). Given the stronger correlation between G. mellonella and mouse virulence, we next examined whether G. mellonella could substitute for mice when asking questions about the virulence of large numbers of P. aeruginosa isolates. Results from mice indicated that isolates with resistance to more antibiotics were significantly less virulent, and the use of G. mellonella identified the same inverse correlation. Furthermore, both models found no evidence for the existence of hypervirulent clonal lineages. In particular, isolates belonging to sequence types defined as high-risk clones were not consistently more virulent than other isolates, despite the known association of high-risk clones with poor clinical outcomes. These findings suggest that G. mellonella can serve as an adequate substitute for mice when addressing specific population-based virulence questions, although conclusions should be confirmed in mice. Author SummaryWe found that virulence measurements in a G. mellonella infection model showed a semistrong correlation with those from a mouse bacteremia model and that this insect larval model adequately detected population-level trends similarly to mice. In contrast, A549 epithelial-like cell lysis during bacterial co-culture correlated less well with mouse virulence. Together, these results support the use of G. mellonella as a scalable, low-cost, and humane first-line model for assessing P. aeruginosa virulence but also indicate that conclusions should be validated in mice.

microbiology↗

Dynamic and Heterogeneous Distribution of Trichomonasvirus Species in Trichomonas vaginalis

Trichomonasvirus (TVV) is a double-stranded RNA virus from the Pseudototiviridae family that exclusively infects Trichomonas vaginalis, the protozoan responsible for the most common non-viral sexually transmitted infection. Within the Trichomonasvirus genus, five distinct viral species have been identified, and intriguingly, a single T. vaginalis isolate can simultaneously harbor multiple TVV species. Previous studies have explored the impact of TVV infection on the physiology and virulence of T. vaginalis, yet findings remain inconsistent and often contradictory. We propose that these discrepancies stem from the heterogeneous intracellular distribution of TVV within individual cells of the same T. vaginalis isolate. To investigate this, we employed ultra-deep single-cell RNA sequencing and immunofluorescence assays to examine multiple T. vaginalis isolates. Our results revealed striking variability in the proportion of infected cells carrying the same viral species, even within a single isolate. The present study is the first to demonstrate the dynamic and non-uniform intracellular distribution of TVV at the single-cell level. These findings challenge previous assumptions and provide a new perspective on the intricate virus-host interactions between TVV and T. vaginalis, offering new avenues for further research into their complex relationship. Author SummaryTrichomonas vaginalis is a parasitic protozoan responsible for the most prevalent non-viral sexually transmitted infection worldwide. In 1985, researchers discovered a double-stranded RNA (dsRNA) virus within T. vaginalis, which was later named Trichomonasvirus (TVV). This virus is believed to influence the hosts gene expression, impacting cytoadherence, drug susceptibility, and virulence proteins. However, studies on TVV-host interaction have produced conflicting results, with some genes appearing upregulated in one experiment but downregulated in another or vice versa. We hypothesize that these inconsistencies stem from the non-uniform distribution of TVV among individual cells within the same T. vaginalis isolate. Based on the experimental data from ultra-deep single-cell sequencing and immuno-localization, our study reveals that TVVs intracellular distribution is highly heterogeneous and dynamic. These findings challenge the prevailing assumption that TVV is uniformly and statically distributed. This heterogeneity underscores the need to reassess previous research on TVV-T. vaginalis interactions, as earlier studies may have overlooked this crucial factor.

microbiology↗

Environmental NaCl affects C. elegans development and aging

Sodium is an essential nutrient, but is toxic in excess. In humans, excessive dietary sodium can cause high blood pressure, which contributes to age-related diseases including stroke and heart disease. We used C. elegans to elucidate how sodium levels influence animal aging. Most experiments on this animal are conducted in standard culture conditions: Nematode Growth Medium (NGM) agar with a lawn of E. coli. Here, we report that the supplemental NaCl in standard NGM, 50 mM, accelerates aging and decreases lifespan. For comparison, we prepared NGM with reduced NaCl or excess NaCl. Considering reduced NaCl as a baseline, wild-type worms on standard NGM displayed normal development and fertility but reduced lifespan and health span, indicating toxicity in old animals. The long-lived mutants daf-2, age-1, and nuo-6, cultured on standard NGM, also displayed reduced lifespan. Thus, NaCl in standard NGM accelerates aging in multiple genetic backgrounds. Wild-type worms on excess NaCl displayed delayed development and reduced fertility, and reduced lifespan and health span, indicating toxicity in both young and old animals. These results suggest that young animals are relatively resistant to NaCl toxicity, but that aging causes progressive sensitivity, such that old animals display toxicity to both standard and excess NaCl. We investigated pathways that respond to NaCl. Young animals cultured with excess NaCl activated gpdh-1, a specific response to NaCl stress. Old animals cultured with excess NaCl activated gpdh-1 and hsp-6, a reporter for the mitochondrial unfolded protein response. Thus, excess NaCl activates multiple stress response pathways in older animals.

developmental biology↗

A short cut to sample coverage standardization in meta-barcoding data provides new insights into land use effects on insect diversity

The use of metabarcoding for insect species identification has grown rapidly, but the absence of abundance data hinders meaningful diversity metrics like sample coverage-standardized species richness. Additionally, the vast number of taxa often lacks a unified phylogeny or trait database. We present a framework for constructing a phylogenetic tree encompassing the majority of insect families, standardisation of sample coverage (an objective measure of sample completeness) and assessment of both taxonomic and phylogenetic diversity using the Hill series for metabarcoding data. Applied to central Europe, our framework analysed insect diversity from 400 families along a land-use gradient. Results revealed land-use intensity significantly affects sample coverage, emphasizing the need for biodiversity standardization. After standardization, taxonomic diversity declined by 27-44%, and phylogenetic diversity by 13-29% across 39,000 Operational Taxonomic Units, from forests to agricultural areas. Rare species exhibited greater phylogenetic diversity loss than taxonomic, while dominant species showed smaller phylogenetic losses but stronger declines in taxonomic diversity. Our findings underscore agricultures detrimental effects on specific insect taxa, even after adjusting for sample coverage, and provide new insights into the loss of functional diversity, as represented by phylogeny.

ecology↗

The ACE-inhibitor drug captopril inhibits ACN-1 to control dauer formation and aging

The renin-angiotensin-aldosterone system (RAAS) plays a well-characterized role regulating blood pressure in mammals. Pharmacological and genetic manipulation of the RAAS has been shown to extend lifespan in C. elegans, Drosophila, and rodents, but its mechanism is not well defined. Here we investigate the angiotensin-converting enzyme (ACE) inhibitor drug captopril, which extends lifespan in worms and mice. To investigate the mechanism, we performed a forward genetic screen for captopril hypersensitive mutants. We identified a missense mutation that causes a partial loss-of-function of the daf-2 receptor tyrosine kinase gene, a powerful regulator of aging. The homologous mutation in the human insulin receptor causes Donohue syndrome, establishing these mutant worms as an invertebrate model of this disease. Captopril functions in C. elegans by inhibiting ACN-1, the worm homolog of ACE. Reducing the activity of acn-1 via captopril or RNAi promoted dauer larvae formation, suggesting acn-1 is a daf gene. Captopril-mediated lifespan extension xwas abrogated by daf-16(lf) and daf-12(lf) mutations. Our results indicate that captopril and acn-1 control aging by modulating dauer formation pathways. We speculate that this represents a conserved mechanism of lifespan control. Summary StatementCaptopril and acn-1 control aging. By demonstrating they regulate dauer formation and interact with daf genes, including a new DAF-2(A261V) mutant corresponding to a human disease variant, we clarified the mechanism.

developmental biology↗

A Genome-based Model to Predict the Virulence of Pseudomonas aeruginosa Isolates

Variation in the genome of Pseudomonas aeruginosa, an important pathogen, can have dramatic impacts on the bacteriums ability to cause disease. We therefore asked whether it was possible to predict the virulence of P. aeruginosa isolates based upon their genomic content. We applied a machine learning approach to a genetically and phenotypically diverse collection of 115 clinical P. aeruginosa isolates using genomic information and corresponding virulence phenotypes in a mouse model of bacteremia. We defined the accessory genome of these isolates through the presence or absence of accessory genomic elements (AGEs), sequences present in some strains but not others. Machine learning models trained using AGEs were predictive of virulence, with a mean nested cross-validation accuracy of 75% using the random forest algorithm. However, individual AGEs did not have a large influence on the algorithms performance, suggesting instead that the virulence prediction derives from a diffuse genomic signature. These results were validated with an independent test set of 25 P. aeruginosa isolates whose virulence was predicted with 72% accuracy. Machine learning models trained using core genome single nucleotide variants and whole genome k-mers also predicted virulence. Our findings are a proof of concept for the use of bacterial genomes to predict pathogenicity in P. aeruginosa and highlight the potential of this approach for predicting patient outcomes. IMPORTANCEPseudomonas aeruginosa is a clinically important gram-negative opportunistic pathogen. As a species, P. aeruginosa has a large degree of heterogeneity both through variation in sequences found throughout the species (core genome) and the presence or absence of sequences in different isolates (accessory genome). P. aeruginosa isolates also differ markedly in their ability to cause disease. In this study, we used machine learning to predict the virulence level of P. aeruginosa isolates in a mouse bacteremia model based on genomic content. We show that both the accessory and core genome are predictive of virulence. This study provides a machine learning framework to investigate relationships between bacterial genomes and complex phenotypes such as virulence.

genomics↗

Sequence variation among SARS-CoV-2 isolates in Taiwan

Taiwan experienced two waves of imported cases of coronavirus disease 2019 (COVID-19), first from China in January to late February, followed by those from other countries starting in early March. Additionally, several cases could not be traced to any imported cases and were suspected as sporadic local transmission. Twelve full viral genomes were determined in this study by Illumina sequencing either from virus isolates or directly from specimens, among which 5 originated from clustered infections. Phylogenetic tree analysis revealed that these sequences were in different clades, indicating that no major strain has been circulating in Taiwan. A deletion in open reading frame 8 was found in one isolate. Only a 4-nucleotide difference was observed among the 5 genomes from clustered infections.

genetics↗

Systemic Infection Facilitates Transmission of Pseudomonas aeruginosa

Health care-associated infections such as Pseudomonas aeruginosa (PA) bacteremia pose a major clinical risk for hospitalized patients, and efforts to limit them are a priority. The fitness pressures accounting for PA virulence factors that facilitate bloodstream infections are unclear, as these infections are presumed to be a \"dead-end\" and have no impact on transmission. Here, we used a mouse model to show that PA spreads from the bloodstream to the gallbladder, where it replicates to extremely high numbers. Bacteria in the gallbladder then seed the intestines and feces, leading to transmission to uninfected cage-mate mice. The findings demonstrate that the gallbladder is critical for spread of PA from the bloodstream to the feces during bacteremia, a process that promotes transmission.

microbiology↗

The efficacy of a 14-day modified quadruple therapy containing amoxicillin, tetracycline and high dose metronidazole and proton-pump inhibitors as an empirical third line helicobacter pylori eradication treatment in Taiwan

The antibiotics resistances to amoxicilln, tetracycline was low in Taiwan even after multiple H. pylori treatment failures and high dose metronidazole could overcome antibiotics resistance. In real world practice, susceptibility-guided treatments are not widely available. Therefore, we assessed the efficacy of 14-day modified quadruple therapy containing amoxicillin, tetracycline and high dose metronidazole and PPI as an empirical third-line rescue H. pylori treatment. This study was conducted by analyzing 70 consecutive prospectively registered patients who failed two times H. pylori eradication. All of them received endoscopy for H. pylori culture. Seven patients were lost to follow up. They were then treated according to the antibiotic susceptibility testing reports (Cultured group, n=39). Those who failed H. pylori culture were prescribed with a modified 14-day quadruple therapy containing esomeprazole 40 mg twice daily, amoxicillin 1 g twice daily, tetracycline 500 mg four times daily and metronidazole 500 mg three times daily (empirical group, n=24). Follow-up urea breath test was performed 8 weeks later. The eradication rates attained by Cultured group and empirical group were 89.7% (95% confidence interval [CI] = 72.72%-97.11%) and 58.3% (95% CI=36.61%-77.86%), in the per protocol analysis (p=0.004); 81.4%(95% CI=66.60%-91.61%) and 51.8% (95% CI=31.9%-71.29%), in the intention-to-treat analysis (p=0.014). Culture-guided therapy was the clinical factors influencing the efficacy of H. pylori eradication (OR: 0.16; 95% CI: 0.04-0.60, p=0.006). In conclusion, empirical 14-day modified 3 quadruple therapy is not acceptable as an alternative third-line rescue H. pylori treatment arobably but the success rate of the third-line susceptibility-guided treatment was only moderate (<90%).

microbiology↗